This paper proposes a new Eye-based Recurrent Network Architecture (ERNA) for image classification. The new architecture is trained by a combination of Qlearning and RPROP. The classification performance is compared with other network architectures on the task of determining connectedness between pixels in small binary images. The experiments show that ERNA outperforms both the standard multi-l...

In now a days Password authentication plays a vital role typing biometrics as a transparent layer of user authentication for security. Keystroke authentication provides security to the applications like electronic mail, banking and any other web services etc., There are several types of techniques to protect our passwords but it can be easily hacked by the hackers through so many algorithms. By...

1. Choudhary A, Goyal D, Shimi SL, Akula A. Condition Monitoring and Fault Diagnosis of Induction Motors: A Review. Arch Computat Methods Eng 2019; 26: 1221–1238. https://doi.org/10.1007/s11831.... CrossRef Google Scholar

In this paper we evaluate the classiication accuracy of four statistical and three neural network classiiers for two image based pattern classiication problems. These are ngerprint classiication and optical character recognition (OCR) for isolated handprinted digits. The evaluation results reported here should be useful for designers of practical systems for these two important commercial appli...

This study presents a hybrid neural network and Gravitational Search Algorithm (HNGSA) method to solve well known Wessinger's equation. To aim this purpose, gravitational search algorithm (GSA) technique is applied to train a multi-layer perceptron neural network, which is used as approximation solution of the Wessinger's equation. A trial solution of the differential equation is written as sum...

This paper discusses the development of a system for the automated real-time measurement of crystal size distributions during crystallisation. An optimised selection of the Daubechies wavelet coefficients is used as input to a Multi–Layer Perceptron artificial neural network to characterise the crystal scale lengths. This technique gives significant advantages over the sampling-based measuremen...